A Framework For Chili Fruits Maturity Estimation Using Deep Convolutional Neural Network

Zainuddin, Muhammad Noorazlan Shah and Mohd Hussin, Najihah and Ahmad Radzi, Syafeeza and Mohd Saad, Wira Hidayat and Mohd Noh, Zarina and Sulaiman, Noor Asyikin and Razak, M. S.J.A. (2021) A Framework For Chili Fruits Maturity Estimation Using Deep Convolutional Neural Network. Przeglad Elektrotechniczny, 97 (12). pp. 77-81. ISSN 0033-2097

Text A FRAMEWORK FOR CHILI FRUITS.PDF Download (409kB)

Abstract

An agriculture robot has been demanded in recent years. Inaccurate in estimating the maturity of the chili always happens since the human eyes are tend to prone to errors. Serving an effective, innovative, feasible chili recognition system would help farmers as economical alternative by reducing the workloads while increasing fruit yield. Hence, a comprehensive framework of chili maturity estimation using deep learning is carried out.

Item Type:	Article
Uncontrolled Keywords:	Agriculture, Chili, Maturity, Deep Learning
Divisions:	Faculty of Electronics and Computer Engineering > Department of Computer Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	05 May 2022 13:04
Last Modified:	05 May 2022 13:04
URI:	http://eprints.utem.edu.my/id/eprint/25849
Statistic Details:	View Download Statistic

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